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Adding laziness in BnB-ADOPT+

Adding laziness in BnB-ADOPT\(^+\)
Authors: Jimmy Ho-Man Lee; Pedro Meseguer; Wen Su;

Adding laziness in BnB-ADOPT+

Abstract

In distributed constraint optimization, agents executing BnB-ADOPT+ react eagerly to cost changes: they send non-redundant COST messages to their parents as soon as they receive new messages. We have observed that a lazier reaction (not sending COST messages until a condition is met) substantially decrements the number of messages sent and causes only a small variation in ENCCCs. This approach combines nicely with soft arc consistency maintenance during search. We provide experimental evidence of the benefits of this approach on several benchmarks.

This research has been supported by the following grants: CUHK413808, CUHK413710 and CUHK413713 from the Research Grants Council of Hong Kong SAR, the CSIC / RGC Joint Research Scheme grants S-HK003/12 and 2011HK0017, TIN2013-45732-C4-4-P from Spanish MINECO, and Generalitat de Catalunya SGR- 2014-118

Peer Reviewed

Keywords

Arc consistency, Cost changes, Non-redundant, Integer programming, Distributed constraint optimizations, Constrained optimization, Experimental evidence, Small variations

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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